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Course Co-Leader - AI Ethics and Society (Part time - 0.5 FTE, 3 year Fixed-term)

Closing date: 
Thursday, 1 April 2021

Institute of Continuing Education, Madingley, Cambridge

 

The University of Cambridge Institute of Continuing Education (ICE) and the Leverhulme Centre for the Future of Intelligence (CFI) are seeking to appoint a part-time (0.5 FTE) Course Co-Leader for 3 years in the first instance, to play vital leadership and teaching roles, ensuring that the Masters degree program in AI Ethics & Society is of the very highest academic quality and professional standards, commensurate with the University of Cambridge's reputation as one of the world's greatest seats of learning.

ICE delivers high quality and distinctive educational programmes for adult learners, predominantly studying on a part-time basis, for either personal enrichment or professional development. It aims to ensure that the expertise and resources of the University of Cambridge are made available to all students, irrespective of their previous educational achievements. CFI is an interdisciplinary centre dedicated to researching the ethics and impact of AI. It is a collaboration between the University of Cambridge, the University of Oxford, Imperial College London, and the University of California Berkeley.

The Course Co-leader will join the team leading the management, development, orchestration, teaching, and ongoing evaluation and improvement of a new Master of Studies (MSt) in AI Ethics.

This is an exciting opportunity for a talented individual to make a major contribution to the advancement of leadership, research and policy in beneficial AI - arguably, one of the most important issues of our time - by shaping world-leading postgraduate education in this area.

The course will align closely to the world-leading work in AI Ethics conducted at CFI, and the Course Co-leader will work with the team to create a collaborative structured environment to ensure that the course is led and informed by the centre's multifaceted expertise.

Candidates should have a PhD in a relevant field and provide evidence of: a strong track record in postgraduate-level course design, excellence in teaching, and an interest in engagement with interdisciplinary policy and technology communities.

 

https://www.jobs.cam.ac.uk/job/28937/

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

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